A critique and improvement of an evaluation metric for text segmentation
Computational Linguistics
ECDL '97 Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries
Topic segmentation: algorithms and applications
Topic segmentation: algorithms and applications
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Optimal multi-paragraph text segmentation by dynamic programming
ACL '98 Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2
An automatic method of finding topic boundaries
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
SeLeCT: a lexical cohesion based news story segmentation system
AI Communications - STAIRS 2002
Statistical models for topic segmentation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Text segmentation by clustering cohesion
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
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The automatic detection of appropriate subtopic boundaries in a document is a difficult and very useful task in text processing. Some methods have tried to solve this problem, several of them have had favorable results, but they have presented some drawbacks as well. Besides, several of these solutions are application domain dependant. In this work we propose a new algorithm which uses a window below the paragraphs to measure the lexical cohesion to detect subtopics in scientific papers. We compare our method against two algorithms that use the lexical cohesion too. In this comparison we notice that our method has a good performance and outperforms the other two algorithms.